I help lean, high-growth teams replace manual workflows with resilient automation systems and AI-driven operations that are observable, maintainable, and built to last.
Specialties: Revops automation, customer journeys, back-office orchestration, AI copilots, and analytics-ready data pipelines.

Recent systems: multi-channel lead routing, LLM-powered support triage, weighted SLAs, and human-in-the-loop automations for high-value accounts.
My work sits at the intersection of automation architecture, AI, and business operations. I partner with founders, operators, and RevOps leaders to turn messy, fragile workflows into calm, observable systems that actually support growth.
Instead of random zaps and scripts, I build modular, well-documented architectures—with clear ownership, monitoring, and guardrails—so your team can ship faster without creating hidden operational debt.
If you’re feeling the weight of scattered tools, brittle automations, or inconsistent handoffs, I can help you design a calmer, more predictable system.
Engagements are outcome-focused and tool-agnostic. I work with your existing stack to design, build, and document the systems that run your business.
Map your current workflows, identify failure points, and design a clear automation architecture that matches your go-to-market and data model.
Translate architecture into production-ready automations, integrations, and AI workflows with logging, alerting, and documentation baked in.
Review existing automations, uncover blind spots, and tune systems for reliability, observability, and lower maintenance overhead.
Every engagement follows a simple, low-friction framework so your team knows what’s happening and why.
Each project starts from first principles—designing for reliability, team workflows, and measurable business impact.

Designed a unified lead lifecycle across CRM, marketing automation, and product events, with routing logic that respects territory, intent, and SLAs.
Impact: +23% increase in qualified meetings booked and fewer handoff errors.

Implemented LLM-based classification and summarization on top of an existing helpdesk, feeding into queues, alerts, and downstream automations.
Impact: 35% faster time-to-first-response and clearer context for agents.

Codified automation patterns, naming conventions, and runbooks into a central operations handbook and shared automation library.
Impact: New ops hires become effective in under 7 days with minimal shadowing.
Clear, fixed-scope packages designed for momentum. Custom retainers are available for teams with complex or ongoing needs.
If your question isn’t covered here, feel free to include it in your message when you reach out.
I’m tool-agnostic and start from your existing stack. Common platforms include HubSpot, Salesforce, Pipedrive, Airtable, Notion, Zapier, Make, Workato, n8n, Retool, and various LLM providers. If you have custom or in-house systems, we’ll design around your APIs and data model.
Audits are usually completed within 1–2 weeks. Core Build projects run 3–6 weeks depending on scope and team availability. Fractional partnerships are a 3-month minimum so we can design, build, and iterate together.
We’ll align on a primary point of contact and preferred channels (Slack, email, project tools). I can work directly with founders, ops leaders, or RevOps teams and am comfortable pairing with in-house engineers where needed.
Yes. We’ll start with low-risk, high-leverage use cases like summarization, triage, and internal copilots. We design guardrails, escalation paths, and human-in-the-loop checks so AI augments your team rather than acting as an opaque black box.
Tell me a bit about your stack, your biggest operational headaches, and the outcomes you’d like to see. I’ll reply with a short Loom or email outlining how I can help and suggested next steps.
Typical clients: SaaS, professional services, and productized service businesses between seed and Series C.
You’ll receive a reply within 1–2 business days.